code: def __init__(
      self,
      corpus: CorpusGenerator,
      *,
      batch_size: int = 64,
      encoder_processor: "ABCProcessor",
      decoder_processor: "ABCProcessor",
      encoder_seq_length: int = None,
      decoder_seq_length: int = None,
      encoder_segment: bool = False,
      decoder_segment: bool = False,
  ):
      self.corpus = corpus
  
      self.encoder_processor = encoder_processor
      self.decoder_processor = decoder_processor
  
      self.encoder_seq_length = encoder_seq_length
      self.decoder_seq_length = decoder_seq_length
  
      self.encoder_segment = encoder_segment
      self.decoder_segment = decoder_segment
  
      self.batch_size = batch_size
  
imports: from abc import ABC
  from typing import Iterable, Iterator, TYPE_CHECKING
  from typing import List, Any, Tuple
  import numpy
  import tensorflow
label_desc: Use image node_id 1 to create a new Seq2SeqDataSet object from inherited base classes: Iterable with example: obj = Seq2SeqDataSet(corpus)